Open-source alternatives to Arbor

Dynamic HTML5 visualization

morris.js is a JavaScript data visualization library and SVG charting framework. It is designed to render time-series line, bar, area, and donut charts to visualize complex datasets and distribution patterns. The library specializes in time-series charting to display temporal trends and track how specific values change over time. It provides tools for statistical data representation, allowing for the comparison of different data sets or the illustration of proportions within a whole. The framework enables the creation of web dashboard analytics by transforming raw data into graphical represe

Trianglify is an algorithmic background generator and vector art toolkit used to produce pseudo-random geometric patterns and polygonal meshes. It functions as a rendering engine that converts geometric data into either scalable vector graphics or rasterized canvas elements. The system utilizes deterministic pattern generation via seed values to ensure consistent geometric output. It supports customizable color gradients, coordinate grid jittering, and custom geometry definitions to control the placement and shape of the generated meshes. The project covers algorithmic art generation and gen

Chart.js is a declarative data visualization framework that renders interactive, responsive charts directly onto an HTML5 canvas element. It functions as a configuration-driven engine, transforming structured datasets into complex graphical representations by merging user-defined settings with global defaults. The library utilizes a high-performance rendering pipeline that executes drawing commands during each animation frame to maintain smooth visual feedback. The project distinguishes itself through a modular, extensible architecture that allows developers to register custom scales, control

Raphael is a JavaScript library for creating, manipulating, and animating scalable vector graphics. It provides a programmatic interface and a cross-browser renderer for drawing 2D vector graphics and complex shapes within a web browser. The project functions as an SVG animation framework and drawing API, allowing for the construction of diagrams, charts, and custom illustrations. It enables the creation of motion graphics through the transformation of vector elements using coordinate systems and easing functions. The library covers capabilities for scalable vector rendering, dynamic data vi

Open Source Javascript Gantt

A friendly reusable charts DSL for D3

Two.js is a multi-backend graphics engine and vector drawing library that provides a unified API for creating two-dimensional graphics and animations. It functions as a renderer-agnostic abstraction layer, allowing users to generate vector shapes and paths that can be rendered via SVG, Canvas2D, or WebGL. The engine includes a scene graph manager to organize objects into hierarchical groups, enabling the propagation of collective transformations and parent-child relationships. It also features a headless graphics renderer, providing a node-based implementation for generating 2D drawings in se

Fabric.js is an HTML5 canvas library and interactive vector graphics engine. It provides an object-oriented model for creating, manipulating, and animating 2D shapes and interactive graphics on a web page. The project functions as an SVG to canvas parser, translating SVG data into interactive canvas objects and exporting canvas states back into SVG format. It also serves as a canvas image processing tool for applying filters, gradients, patterns, and brush strokes to visual elements. The library covers programmatic vector manipulation, including the ability to scale, rotate, skew, and group

nvd3 is a data visualization framework and reusable web graphing library. It provides a collection of interactive charting components built on top of the D3.js library to render complex datasets as graphics within a web browser. The library functions as a wrapper for D3.js, offering predefined chart types and modular templates. This implementation allows for the creation of custom data graphs and web dashboards without requiring the author to write low-level SVG code from scratch. The system utilizes SVG-based vector rendering and attribute-driven styling to generate visualizations. It incor

Paper.js is an HTML5 Canvas vector graphics library and scripting framework used for creating and manipulating 2D shapes and paths. It functions as a vector animation framework and a headless vector graphics engine, allowing for the execution of graphics operations in both browser and server-side environments. The project features a dedicated SVG import and export engine to convert between native vector items and the SVG format. It includes a specialized boolean path operation toolkit for uniting, subtracting, and intersecting vector paths to create complex geometric shapes. The library cove

Babylon.js is a JavaScript game engine and real-time graphics renderer designed for creating interactive three-dimensional visuals and applications. It functions as a web-based 3D framework and WebGL engine that enables the deployment of high-performance 3D content across various web platforms and devices. The project provides tools for web-based 3D game development, real-time graphics rendering, and the creation of browser-based interactive visualizations. It also supports the development of WebXR virtual and augmented reality experiences using standard web technologies. The framework cover

Peity is a lightweight SVG data visualization library that transforms numeric text content and HTML attributes into small pie, donut, bar, and line charts. It functions as an attribute-driven renderer and a progressive enhancement tool, adding vector graphics to web pages by reading data directly from the DOM without requiring heavy JavaScript frameworks. The library supports custom drawing functions and dynamic color assignments, allowing for the registration of new chart types and the use of custom functions to determine segment colors. Its capability surface covers the rendering of mini d

dc.js is a multi-dimensional analysis tool and visualization framework used to build interactive data dashboards. It functions as a charting library that renders diverse SVG visualizations powered by D3 and integrates natively with Crossfilter to enable coordinated filtering across large datasets. The project is distinguished by its linked-view coordination, where selecting a data range or category in one chart simultaneously updates all other connected views. This allows for dynamic data exploration through dimensional chart linking and coordinated brushing, transforming raw datasets into na

Charts for Raphaël

Flot is an interactive charting library for jQuery that renders line, bar, pie, and time-series plots with zooming and panning. It provides interactive plots for engineering and scientific data with customizable axes, scales, and series styles, and supports real-time data updates. The library is built as a jQuery plugin with a canvas-based rendering pipeline and a plugin extension system that allows third-party code to add new chart types, interactions, and data transformations. The library distinguishes itself through a broad range of specialized chart types, including candlestick, bubble, r

This project is a client-side data visualization framework and SVG charting library used to render responsive, interactive charts in a web browser. It functions as a lightweight utility for generating scalable vector graphics and data annotations without external dependencies. The library enables the creation of custom SVG charts with adjustable colors and animations to meet specific design requirements. It supports dynamic data updates and the addition of markers, regions, and tooltips to provide context to specific data points. The system covers broad capability areas including responsive

Legacy Chartist Repo for old gh-pages

A plugin for the jQuery javascript library to generate small sparkline charts directly in the browser

d3-cloud is a JavaScript library for creating non-overlapping word cloud layouts using the D3.js data visualization framework. It serves as a text visualization tool that converts raw text or CSV data into scalable vector graphics and stylized typographic clouds. The library utilizes a spiral-based collision layout algorithm to compute coordinates and rotations, ensuring that words within a visual cluster do not overlap. It maps word frequency to font size and supports a customized layout process where positions are calculated based on text distribution. The system covers data processing for

mxgraph is a client-side graph visualization tool and JavaScript diagramming library. It functions as an SVG-based drawing framework used to create and render interactive diagrams directly within a web browser. The library enables the development of custom diagramming tools, such as network maps and flowcharts, by providing the means to draw and manipulate visual data structures. It focuses on client-side data visualization, allowing for the representation of complex node and edge relationships without requiring server-side rendering.

A lightweight JavaScript graphics library with the intuitive API, based on SVG/VML technology.

Apache ECharts is a JavaScript data visualization library used for rendering interactive charts and complex data visualizations in web browsers. It functions as a canvas-based charting engine and a statistical data visualization suite that transforms datasets into visual representations. The framework provides specialized capabilities for three-dimensional data visualization, including the generation of 3D plots and globe visualizations. It also serves as a web-based geographic mapping tool for overlaying heatmaps, routes, and data distributions onto interactive maps. The library covers a br

metrics-graphics is a data visualization library and declarative graphics framework designed to create principled data graphics and layouts. It functions as a statistical graphics engine that maps raw data to geometric shapes and structured objects to render complex, data-driven layouts. The toolkit specializes in rendering time-series data through line charts and scatterplots using a consistent layout system. It also provides capabilities for statistical distribution mapping, including the creation of rug plots to represent one-dimensional data density. The system covers a broad surface of

This project is a high-level 3D graphics engine designed to render complex, hardware-accelerated environments within web browsers. It provides a comprehensive abstraction layer that manages scene graphs, cameras, and lighting, mapping high-level scene definitions onto low-level graphics APIs. By decoupling these definitions from specific hardware targets, the engine ensures consistent performance across diverse browsers and devices. The framework distinguishes itself through a robust architecture that includes a unified math library for high-frequency spatial calculations and a physically bas

heatmap.js is a JavaScript data visualization library used to render data density visualizations on a web page. It functions as an HTML5 canvas heatmap library that represents the intensity of data points across a coordinate system using color gradients. The library provides tools for geospatial distribution mapping and user behavior analysis, such as mapping click patterns and interaction hotspots. It is also used to add visual intensity layers to interactive data dashboards to identify trends and anomalies.

Rickshaw is a JavaScript library for building interactive, SVG-based time series charts in the browser. It provides a framework for rendering line, area, bar, and scatterplot visualizations from data series, with built-in support for axes, legends, color palettes, and interactive controls. The library distinguishes itself through a plugin-based architecture that allows renderers to be swapped at runtime, such as switching between stacked area and line chart views while preserving chart state. It includes an event-driven interaction layer for hover details, click behaviors, and drag-based rang